Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

When artificial intelligence systems began cracking previously unsolved mathematical problems, the academic world faced an unexpected challenge: determining whether the solutions were genuinely novel ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

Many parents and educators are concerned about standardized test scores released recently by the Missouri Department of ...

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

Odyssey Math Tuition today reaffirmed its unwavering commitment to redefining mathematics education in Math Tuition Singapore industry by prioritising genuine ...

Odyssey Math Tuition, a leading tuition provider of math tuition in Singapore, today announced the full rollout of its ...